石漠化遥感信息提取方法进展

梳理了石漠化研究领域内的相关文献,重点以遥感数据中的石漠化信息提取方法为主线,从石漠化评价指标、石漠化遥感信息提取两个方面进行分析和讨论,分析了人机交互解译、监督及非监督分类、面向对象等石漠化遥感信息提取方法以及多光谱遥感、高光谱遥感、微波遥感、无人机遥感等数据来源方面的进展与不足。并展望了中国当前石漠化地区遥感影像信息提取的发展,提出在未来研究中应重视石漠化程度分级指标的量化,同时应探索融合多源数据特征以进一步提升石漠化信息提取的精度。

Progresses in Remote Sensing Information Extraction Methods for Rocky Desertification

In this paper, relevant literatures in the field of rocky desertification research are summarized, and methods of extracting rocky desertification information from remote sensing data are taken as the main line to analyze and discuss the evaluation index of rocky desertification and remote sensing information extraction of rocky desertification. This paper also summarizes the progress and shortcomings of human-computer interactive interpretation, supervised classification, unsupervised classification, object-oriented classification, and remote sensing data extraction of rocky desertification information, including multi-spectral remote sensing, hyperspectral remote sensing, microwave remote sensing and unmanned aerial vehicle remote sensing. The future development trend of remote sensing image information extraction methods in rocky desertification areas in my country is prospected. It is pointed out that more attention should be paid to the quantification of the classification index of rocky desertification degree, and the further research on the fusion of multi-source data features should be conducted to improve the accuracy of rocky desertification information extraction.